Chapter 7: Applications of Artificial Neural Networks (ANNs) in the Food Processing Industry Check Access

An artificial neural network (ANN) is made by modelling artificial intelligence to resemble the functioning of a biological neural network. ANN is shown to be an emerging method, in contrast to the computationally intensive analytically based techniques, for nonlinear computer modelling in food analysis. Furthermore, ANNs provide a cutting-edge approach that is commonly acknowledged when it comes to addressing engineering challenges in real-world situations since it may result in a notable reduction in time and expense. Moreover, food engineering nonlinear complicated processes are challenging to resolve using conventional techniques; ANN modelling might be a useful tool to manage this. ANNs are widely used in the food processing sector because they are resilient, adaptable, fault-tolerant, adaptive, robust, and noise-immune. As a result, this chapter finishes by discussing the similarities and differences between biological and artificial neural networks, the creation of ANN projects, the many kinds of ANN, and their use in the diverse food processing industry.